The goal of this project is the robust, noninvasive magnetic resonance (MR) imaging of the proximal coronary arteries in humans. MR is a dynamic modality that offers enormous flexibility to deal with the considerations involved in coronary artery imaging, including resolution (spatial and temporal) and motion. Improvements in MR hardware, pulse sequences, and data processing algorithms have led to advances in coronary magnetic resonance angiography (CMRA). However, further improvements in image quality and consistency are needed to raise CMRA to the level of clinical utility. The proposed research plan involves the development and evaluation of new methods for CMRA. Key components of the plan include a novel 3D cones trajectory for fast whole-heart imaging, and high-quality 3D image-based navigators (iNAVs) every heartbeat for motion monitoring. Compared to conventional CMRA methods, non-Cartesian 3D cones scanning offers higher scan efficiency and improved motion performance in the heart. Compared to conventional navigator methods, 3D iNAVs provide far more information about heart motion during the scan. Major enhancements to CMRA will be investigated in this project, including those for substantially higher resolution and more robust motion detection-compensation. Following a period of technical development and preliminary evaluation, a comparative study of the optimized CMRA method with x-ray blood vessel imaging will take place on patients with suspected coronary artery disease.

Public Health Relevance

Because coronary artery disease remains the leading cause of death in the United States, the development of a noninvasive method to image the coronary arteries in patients with this disease would have a major impact on healthcare. This project seeks to attain this goal using magnetic resonance imaging (MRI), a safe, painless, and radiation-free technology. This research will develop, optimize, and evaluate new MRI methods designed to produce images of the coronary arteries reliably.

National Institute of Health (NIH)
National Heart, Lung, and Blood Institute (NHLBI)
Research Project (R01)
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Study Section
Medical Imaging Study Section (MEDI)
Program Officer
Danthi, Narasimhan
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Stanford University
Engineering (All Types)
Biomed Engr/Col Engr/Engr Sta
United States
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Baron, Corey A; Dwork, Nicholas; Pauly, John M et al. (2018) Rapid compressed sensing reconstruction of 3D non-Cartesian MRI. Magn Reson Med 79:2685-2692
Addy, Nii Okai; Ingle, R Reeve; Luo, Jieying et al. (2017) 3D image-based navigators for coronary MR angiography. Magn Reson Med 77:1874-1883
Luo, Jieying; Addy, Nii Okai; Ingle, R Reeve et al. (2017) Nonrigid Motion Correction With 3D Image-Based Navigators for Coronary MR Angiography. Magn Reson Med 77:1884-1893
Baron, Corey A; Nishimura, Dwight G (2017) B0 mapping using rewinding trajectories (BMART). Magn Reson Med 78:664-669